Detecting and Quantifying T-Wave Alternans: Papers about the Challenge
The following paper describes the PhysioNet/Computing in Cardiology Challenge. Please cite this publication when referencing the Challenge.
The following papers were presented at the Computing in Cardiology Conference.
An Open-Source Standard T-Wave Alternans Detector
for Benchmarking
A Khaustov, S Nemati, GD Clifford
Heart-Rate Adaptive Match Filter Based Procedure to Detect and Quantify
T-Wave Alternans
L Burattini, R Burattini
Estimation of T-Wave Alternans from Multi-Lead ECG
Signals Using a Modified Moving Average Method
GM Nijm, S Swiryn, AC Larson, AV Sahakian
Principal Component Analysis for Detection and Assessment
of T-Wave Alternans
G Bortolan, II Christov
T-Wave Alternans Ranking: Striking Disagreement between
Two Vectorcardiographic Measures of Repolarization Heterogeneity
S Man, AC Maan, MJ Schalij, EE van der Wall, CA Swenne
T-Wave Alternans: A Comparison of Different Measurement
Techniques
D Zheng, S Stevens, P Langley, K Wang, AJ Haigh, S King, A Murray
Multilead T-Wave Alternans Quantification Based on
Spatial Filtering and the Laplacian Likelihood Ratio Method
V Monasterio, JP Martínez
Analysis of T-Wave Alternans Using the Ramanujan
Transform
LT Mainardi, M Bertinelli, R Sassi
An Improved Spectral Method of Detecting and Quantifying
T-Wave Alternans for SCD Risk Evaluation
TW Shen, YT Tsao
An Electrophysiological Cardiac Model Approach to
Measuring T-Wave Alternans
MA Mneimneh, RJ Povinelli
Detection and Estimation of T-Wave Alternans with
Matched Filter and Nonparametric Bootstrap Test
JL Rojo-Álvarez, O Barquero-Pérez, I Mora-Jimenez,
R Goya-Esteban, J Gimeno-Blanes, A Garcia-Alberola
Correlation between Multifractal Spectrum Based on Wavelet
Leaders and T-Wave Alternans
R Cardo, A Corvalán
New Method for the Detection of T-Wave Alternans in Basis
of Walsh Functions
OV Melnik
Principal Component Analysis Based Method for Detection
and Evaluation of ECG T-Wave Alternans
R Simoliuniene, A Krisciukaitis, A Macas, Baksyte G, Saferis V, R Zaliunas
Detecting and Quantifying T-Wave Alternans Using the
Correlation Method and Comparison with the FFT-Based Method
A Ghaffari, MR Homaeinezhad, M Atarod, R Rahmani
Hybrid Detector for the T-Wave Alternans Challenge
O Meste, R Alegre de la Soujeole, O Tala
Nonlinear Detection of T-Wave Alternans
H Väänänen H
An Artificial Multi-Channel Model for Generating Abnormal Electrocardiographic Rhythms
GD Clifford, S Nemati, R Sameni